Autonomous parsing of behavior in a multi-agent setting

D. Vanderelst, E. Barakova

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)


    Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.

    Originele taal-2Engels
    TitelArtificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings
    RedacteurenL. Rutkowski, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada
    Aantal pagina's12
    StatusGepubliceerd - 4 aug. 2008
    Evenement9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008) - Zakopane, Polen
    Duur: 22 jun. 200826 jun. 2008
    Congresnummer: 9

    Publicatie series

    NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5097 LNAI
    ISSN van geprinte versie0302-9743
    ISSN van elektronische versie1611-3349


    Congres9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008)
    Verkorte titelICAISC 2008
    AnderICAISC 2008: Artificial Intelligence and Soft Computing ; 9th International conference, Zakopane, Poland, June 22-26 2008


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